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Web application for getting location of IP nodes
Modrák, Zdeněk ; Kubánková, Anna (referee) ; Komosný, Dan (advisor)
Thesis deal with geolocation in internet network. There are described possibilities of geolocation and thesis is mainly focused on passive geolocation methods. Under passive geolocation belongs location databases which there are described as in theoretical way as used in practical part of thesis. In practical part there is created complex system for geolocation in internet environment which used paid and free geolocation databases. Another used database is WHOIS. Data from paid databases is processed and accuracy of databases is evaluated.
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Registration database for IP nodes
Smrčka, Lukáš ; Vlček, Lukáš (referee) ; Komosný, Dan (advisor)
This thesis is focused on finding the physical location of stations by the passive geolocation techniques, particularly using the registration database of IP addresses. The first two part are focused on a theoretical analysis of this problem, the next two parts of this thesis deal with the solution of this problem and discussion of the results.
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Geolocation of Internet nodes using IP address analysis
Henek, Jan ; Balej, Jiří (referee) ; Komosný, Dan (advisor)
Tato práce se zabývá problematikou určování fyzické polohy pomocí rozboru IP adresy. Zkoumanou metodou geolokace je databáze Whois. Práce je rozdělena na teoretickou část – která obsahuje obecný popis geolokačních metod, práce se souřadnicemi a výpočtem vzdáleností na zemi, a na praktickou část – kde je popsán program využívající Whois k nalezení stanice. Na závěr jsou předloženy a komentovány výsledky měření přesnosti databáze Whois, a také porovnány s jinými metodami geolokace. Aplikace je přiložena na CD.
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Dataset for Classification of Network Devices Using Machine Learning
Eis, Pavel ; Tisovčík, Peter (referee) ; Žádník, Martin (advisor)
Automatic classification of devices in computer network can be used for detection of anomalies in a network and also it enables application of security policies per device type. The key to creating a device classifier is a quality data set, the public availability of which is low and the creation of a new data set is difficult. The aim of this work is to create a tool, that will enable automated annotation of the data set of network devices and to create a classifier of network devices that uses only basic data from network flows. The result of this work is a modular tool providing automated annotation of network devices using system ADiCT of Cesnet's association, search engines Shodan and Censys, information from PassiveDNS, TOR, WhoIs, geolocation database and information from blacklists. Based on the annotated data set are created several classifiers that classify network devices according to the services they use. The results of the work not only significantly simplify the process of creating new data sets of network devices, but also show a non-invasive approach to the classification of network devices.
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IPv6 Geolocation and Visualization
Suchomel, Tomáš ; Veselý, Vladimír (referee) ; Matoušek, Petr (advisor)
This master's thesis is focused on geolocation and visualization of IPv6 addresses. Several current approaches to geolocation have been discussed. Its main goal is to design geolocation database with regular updates with ability to visualize geographic location of the IPv6 address on the world map. Implemented system is gathering data about IPv6 prefixes from public Whois database. Gathered geographical addresses are mapped into coordinates by Google Maps Geocoding API. All gathered data are being saved into database together. Locations of IPv6 addresses are visualized via web-based Google Maps API. Moreover, the density mapping of IPv6 address blocks in particular countries can be visualized too.
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Dataset for Classification of Network Devices Using Machine Learning
Eis, Pavel ; Tisovčík, Peter (referee) ; Žádník, Martin (advisor)
Automatic classification of devices in computer network can be used for detection of anomalies in a network and also it enables application of security policies per device type. The key to creating a device classifier is a quality data set, the public availability of which is low and the creation of a new data set is difficult. The aim of this work is to create a tool, that will enable automated annotation of the data set of network devices and to create a classifier of network devices that uses only basic data from network flows. The result of this work is a modular tool providing automated annotation of network devices using system ADiCT of Cesnet's association, search engines Shodan and Censys, information from PassiveDNS, TOR, WhoIs, geolocation database and information from blacklists. Based on the annotated data set are created several classifiers that classify network devices according to the services they use. The results of the work not only significantly simplify the process of creating new data sets of network devices, but also show a non-invasive approach to the classification of network devices.
|
|
|
Geolocation of Internet nodes using IP address analysis
Henek, Jan ; Balej, Jiří (referee) ; Komosný, Dan (advisor)
Tato práce se zabývá problematikou určování fyzické polohy pomocí rozboru IP adresy. Zkoumanou metodou geolokace je databáze Whois. Práce je rozdělena na teoretickou část – která obsahuje obecný popis geolokačních metod, práce se souřadnicemi a výpočtem vzdáleností na zemi, a na praktickou část – kde je popsán program využívající Whois k nalezení stanice. Na závěr jsou předloženy a komentovány výsledky měření přesnosti databáze Whois, a také porovnány s jinými metodami geolokace. Aplikace je přiložena na CD.
|
|
|
IPv6 Geolocation and Visualization
Suchomel, Tomáš ; Veselý, Vladimír (referee) ; Matoušek, Petr (advisor)
This master's thesis is focused on geolocation and visualization of IPv6 addresses. Several current approaches to geolocation have been discussed. Its main goal is to design geolocation database with regular updates with ability to visualize geographic location of the IPv6 address on the world map. Implemented system is gathering data about IPv6 prefixes from public Whois database. Gathered geographical addresses are mapped into coordinates by Google Maps Geocoding API. All gathered data are being saved into database together. Locations of IPv6 addresses are visualized via web-based Google Maps API. Moreover, the density mapping of IPv6 address blocks in particular countries can be visualized too.
|
|
|
Registration database for IP nodes
Smrčka, Lukáš ; Vlček, Lukáš (referee) ; Komosný, Dan (advisor)
This thesis is focused on finding the physical location of stations by the passive geolocation techniques, particularly using the registration database of IP addresses. The first two part are focused on a theoretical analysis of this problem, the next two parts of this thesis deal with the solution of this problem and discussion of the results.
|
|
|
Web application for getting location of IP nodes
Modrák, Zdeněk ; Kubánková, Anna (referee) ; Komosný, Dan (advisor)
Thesis deal with geolocation in internet network. There are described possibilities of geolocation and thesis is mainly focused on passive geolocation methods. Under passive geolocation belongs location databases which there are described as in theoretical way as used in practical part of thesis. In practical part there is created complex system for geolocation in internet environment which used paid and free geolocation databases. Another used database is WHOIS. Data from paid databases is processed and accuracy of databases is evaluated.
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